%0 Journal Article
	%A Siraa Ben Ftima and  Mourad Talbi and  Tahar Ezzedine
	%D 2017
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 127, 2017
	%T Lifting Wavelet Transform and Singular Values Decomposition for Secure Image Watermarking
	%U https://publications.waset.org/pdf/10007783
	%V 127
	%X In this paper, we present a technique of secure watermarking of grayscale and color images. This technique consists in applying the Singular Value Decomposition (SVD) in LWT (Lifting Wavelet Transform) domain in order to insert the watermark image (grayscale) in the host image (grayscale or color image). It also uses signature in the embedding and extraction steps. The technique is applied on a number of grayscale and color images. The performance of this technique is proved by the PSNR (Pick Signal to Noise Ratio), the MSE (Mean Square Error) and the SSIM (structural similarity) computations.
	%P 884 - 889